Two foundational questions about sustainability are “How are ecosystems and the services
they provide going to change in the future?” and “How do human decisions affect these …

Checking that models adequately represent data is an essential component of applied
statistical inference. Ecologists increasingly use hierarchical Bayesian statistical models in their …

Animal movement is essential to our understanding of population dynamics, animal behavior,
and the impacts of global change. Coupled with high-resolution biotelemetry data, exciting …

The steady upward trend in the use of model selection and Bayesian methods in ecological
research has made it clear that both approaches to inference are important for modern …

… "Hobbs and Hooten provide a complete guide to Bayesian … "Tackling an important and
challenging topic, Hobbs and Hooten … "Hobbs and Hooten provide an important bridge between …

Habitat selection is a fundamental aspect of animal ecology, the understanding of which is
critical to management and conservation. Global positioning system data from animals allow …

Power‐law relationships are among the most well‐studied functional relationships in biology.
Recently the common practice of fitting power laws using linear regression (LR) on log‐…

… Hooten is an associate professor in the Departments of Fish, Wildlife, and Conservation
Biology, and Statistics at Colorado State University. He is also assistant unit leader in the US …

Spatio-temporal statistical models are increasingly being used across a wide variety of
scientific disciplines to describe and predict spatially-explicit processes that evolve over time. …

Ecology Letters (2011) 14: 1108–1116 Abstract Empirical evidence suggests that
biodiversity loss can increase disease transmission, yet our understanding of the ‘diversity‐disease …